Table 1 Top-1 and Top-5 calibration accuracies for VGG16 and ResNet50 on dataset A
From: Deep learning for image-based large-flowered chrysanthemum cultivar recognition
| Pre-trained network | Top-1 (%) | Top-5 (%) |
|---|---|---|
| VGG16 | 89.43 | 98.59 |
| ResNet50 | 95.39 | 99.51 |
From: Deep learning for image-based large-flowered chrysanthemum cultivar recognition
| Pre-trained network | Top-1 (%) | Top-5 (%) |
|---|---|---|
| VGG16 | 89.43 | 98.59 |
| ResNet50 | 95.39 | 99.51 |
